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Record W2509711743 · doi:10.1016/s0167-8140(16)33400-4

1: The Potential Benefit of Esophageal Sparing During Palliative Radiotherapy for Lung Cancer

2016· article· en· W2509711743 on OpenAlexaff
Patrick V. Granton, David A. Palma, Alexander V. Louie

Bibliographic record

VenueRadiotherapy and Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineLung cancerRadiation therapyEsophageal cancerRadiologyOncologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Purpose: A 2007 meta-analysis of several randomized controlled trials assessing optimal doses for palliative lung radiation concluded that radiation doses of 35 Gy10 or greater improved overall survival at one and two years compared to lower doses at the cost of an increased toxicity related to esophagitis.Esophageal sparing has been proposed as a mechanism of reducing this toxicity.A planning study was initiated to assess the potential impact of esophageal-sparing IMRT (ES-IMRT) for palliative lung radiotherapy, compared to the current standard of care using parallel-opposed pair beams (POP). Methods and Materials:In this institutional research ethics board-approved study, patients with lung cancer treated to a dose of 30 Gy in 10 fractions between August 2015 and January 2016 were identified.Additional inclusion criteria required the D50 to contain at least 5 cm of esophagus.The radiation treatment plans were optimized using ES-IMRT by limiting the max esophageal point dose to 80% of the prescription.This was achieved by creating a 5 mm ring around the esophagus.If any portion of the GTV was within this ring, the coverage was compromised such that a point dose could receive as low as 80% of the intended prescription.Both the clinical POP and optimized ES-IMRT plans were evaluated for the likelihood of esophagitis (≥ Grade 2) and pneumonitis (≥ Grade 2), using published Lyman-Kutcher-Burman normal tissue complication probabilities (LKB-NTCP) models.The input parameters for the LKB models were D50 = 44.9,n = 0.34, m = 0.34 and D50 = 29.9,n = 1, m = 0.41 for esophagitis and pneumonitis, respectively.The mean normalized total dose (NTD mean) of the PTV, and the mean dose to the esophagus (esophageal mean) and lung (lung mean) were determined.Results: A total of 13 patients met our inclusion criteria and were analyzed, of which 11/13 had the GTV directly abutting the esophagus.The median [range] of the GTV and PTV were 90.6 cc [22.3 -199.8] and 321.8 cc [164.1 -564.9],respectively.Using ES-IMRT, the median esophageal mean and lung mean dose reduced from 17.0 and 7.9 Gy to 6.8 and 7.7 Gy, respectively.Using the LKB model, the theoretical probability of symptomatic esophagitis and pneumonitis reduced from 13 to 1%, and from 5 to 3%, respectively.The median clinical POP NTDmean was 32.8 Gy, while the median ES-IMRT NTDmean was 33.2 Gy.Conclusions: Advanced radiotherapy techniques such as ES-IMRT may have clinical utility in reducing treatment-related toxicity in advanced lung cancer patients.Our data suggests that the rate of esophagitis can be reduced from 13 to 1%, without compromising tumour control.The results of this planning study will inform the design of a Phase II randomized controlled trial, Palliative Radiation of Advanced Central lung Tumours with Intentional Avoidance of the Esophagus (PROACTIVE).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.322
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2016
Admission routes1
Has abstractno

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